Platform for intrinsic evolution of analogue neural networks

The goals of this research are to examine the possibility of intrinsically evolving analogue neural networks on a field programmable analogue array (FPAA). This paper discusses initial progress in this area by detailing the hardware implementation of three reconfigurable neuron models on an FPAA. Also discussed are possible techniques to allow dynamic reconfiguration of network connectivity and the plausibility of applying evolutionary algorithms to automate the discovery of neural network solutions

[1]  Stuart J. Flockton,et al.  A system for intrinsic evolution of linear and non-linear filters , 1999, Proceedings of the First NASA/DoD Workshop on Evolvable Hardware.

[2]  Bruce A. Whitehead,et al.  Genetic evolution of radial basis function coverage using orthogonal niches , 1996, IEEE Trans. Neural Networks.

[3]  Yves Chauvin,et al.  Backpropagation: theory, architectures, and applications , 1995 .

[4]  Shiro Usui,et al.  Mutation-based genetic neural network , 2005, IEEE Transactions on Neural Networks.

[5]  A. E. Eiben,et al.  Introduction to Evolutionary Computing , 2003, Natural Computing Series.

[6]  Seong-Gon Kong,et al.  Block-based neural networks , 2001, IEEE Trans. Neural Networks.

[7]  Hitoshi Iba,et al.  Evolvable hardware , 1994 .

[8]  E. Capaldi,et al.  The organization of behavior. , 1992, Journal of applied behavior analysis.

[9]  Robert F. Stengel,et al.  Smooth function approximation using neural networks , 2005, IEEE Transactions on Neural Networks.

[10]  Tadashi Shibata,et al.  Guest editorial - Special issue on neural networks hardware implementations , 2003, IEEE Trans. Neural Networks.

[11]  Hiroomi Hikawa,et al.  A digital hardware pulse-mode neuron with piecewise linear activation function , 2003, IEEE Trans. Neural Networks.

[12]  Adrian Stoica,et al.  Toward evolvable hardware chips: Experiments with a programmable transistor array , 1999, Proceedings of the Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems.

[13]  Hon Keung Kwan,et al.  A fuzzy neural network and its application to pattern recognition , 1994, IEEE Trans. Fuzzy Syst..

[14]  Hiroomi Hikawa,et al.  A new digital pulse-mode neuron with adjustable activation function , 2003, IEEE Trans. Neural Networks.

[15]  Xin Yao,et al.  Evolving artificial neural networks , 1999, Proc. IEEE.

[16]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[17]  E. Salari,et al.  Integrated recurrent neural network for image resolution enhancement from multiple image frames , 2003 .

[18]  Ricardo Tanscheit,et al.  Towards evolvable analog artificial neural networks controllers , 2004, Proceedings. 2004 NASA/DoD Conference on Evolvable Hardware, 2004..

[19]  S. Kaplan The Physiology of Thought , 1950 .

[20]  Vu Duong,et al.  Proceedings 2004 NASA/DoD Conference on Evolvable Hardware , 2004 .